Multiple-oriented and small object detection with convolutional neural networks for aerial image
C Chen, J Zhong, Y Tan - Remote Sensing, 2019 - mdpi.com
Detecting objects in aerial images is a challenging task due to multiple orientations and
relatively small size of the objects. Although many traditional detection models have …
relatively small size of the objects. Although many traditional detection models have …
Scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations
In this work, we investigate the coregistration of multimodal data, such as photogrammetric/
LiDAR point clouds, digital surface models, orthoimages, or 3D CAD city models, using …
LiDAR point clouds, digital surface models, orthoimages, or 3D CAD city models, using …
Research on Electronic Map Registration Method Based on Minimum Offset of Corner Points
X Wang, J Zhu, J Yao, Z Liu… - 2024 10th International …, 2024 - ieeexplore.ieee.org
In order to solve the problem of quickly obtaining building communities with geographic
coordinate systems and three-dimensional geometric features, this paper proposes a …
coordinate systems and three-dimensional geometric features, this paper proposes a …
[HTML][HTML] 一种利用 Mask R-CNN 的遥感影像与矢量数据配准方法
王艳东， 邵鑫， 刘波， 邓跃进， 魏广泽… - 武汉大学学报 (信息科学 …, 2022 - ch.whu.edu.cn
遥感影像数据与地理信息系统(geographic information system, GIS) 矢量数据的配准是遥感与
GIS 集成的基础. 目前遥感影像与矢量数据的配准关键在于遥感影像特征的提取 …
GIS 集成的基础. 目前遥感影像与矢量数据的配准关键在于遥感影像特征的提取 …